Analytical tool to predict structural and serviceability-related repairs of multi-girder concrete bridges in Nova Scotia

用于预测新斯科舍省多梁混凝土桥梁结构和适用性相关维修的分析工具

基本信息

  • 批准号:
    551386-2020
  • 负责人:
  • 金额:
    $ 2.19万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Alliance Grants
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Canada's infrastructure deficit has been growing by about $2 billion a year over the past two decades as projected by a study commissioned by the Federation of Canadian Municipalities in 2001. Infrastructure including the bridge inventory in Canada continues to deteriorate over time with 80 per cent of Canada's infrastructure is past its service life. In Nova Scotia, the estimated budget for bringing all bridges to sustainable condition is $210 million per year needed over 10 years, while the actual allocated annual budget to maintain, repair, and replace bridges is $45 million as reported by Nova Scotia Department of Transportation and Infrastructure Renewal in 2019. The challenge of having limited resources to repair and maintain bridges in Canada paired with a large infrastructure deficit initiate the need to develop robust tools to risk rank existing bridge inventory to prioritize bridge repairs. The objective of the present research is to develop an analytical user-friendly tool to predict the structural and serviceability-related repairs of existing multi-girder concrete bridges in Nova Scotia. The tool will be utilized to risk rank existing bridges in Nova Scotia. The following will be considered in developing the tool: (1) it will be designed to augment the current bridge inspection practice in Nova Scotia in updating existing bridge reliability; and (2) it will utilize deterioration models specific to Nova Scotia's weather conditions. The tool will be developed in four phases as follows: document review and field inspection of select bridges in Nova Scotia (Phase I), algorithm development (Phase II), software programming (Phase III), and risk ranking of select bridges in Nova Scotia (Phase IV). Four Highly Qualified Personal (HQPs) will be trained as part of this project in the specialized area of bridge evaluation and repair. The tool will be used by the partner organizations to evaluate and repair existing multi-girder concrete bridges in Nova Scotia.
根据加拿大市政联合会2001年委托进行的一项研究,在过去20年里,加拿大的基础设施赤字每年增长约20亿美元。基础设施,包括加拿大的桥梁库存,随着时间的推移继续恶化,加拿大80%的基础设施已超过其使用寿命。在新斯科舍省,根据2019年新斯科舍省交通和基础设施更新部的报告,在10年内,将所有桥梁恢复到可持续状态的估计预算为每年2.1亿美元,而维护、维修和更换桥梁的实际分配年度预算为4500万美元。在加拿大,修复和维护桥梁的资源有限,加上基础设施严重不足,因此需要开发强大的工具,对现有桥梁库存进行风险排序,以优先考虑桥梁维修。本研究的目的是开发一种易于使用的分析工具,以预测新斯科舍省现有多梁混凝土桥梁的结构和可使用性相关维修。该工具将用于对新斯科舍省现有桥梁进行风险排名。在开发该工具时将考虑以下因素:(1)该工具的设计将增强新斯科舍省目前的桥梁检查实践,以更新现有桥梁的可靠性;(2)它将利用针对新斯科舍省天气条件的恶化模型。该工具的开发将分为四个阶段:新斯科舍省选定桥梁的文件审查和现场检查(第一阶段)、算法开发(第二阶段)、软件编程(第三阶段)和新斯科舍省选定桥梁的风险排名(第四阶段)。作为该项目的一部分,将培训四名桥梁评估和维修专业领域的高素质人员(HQPs)。该工具将被合作伙伴组织用于评估和修复新斯科舍省现有的多梁混凝土桥梁。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Oudah, FadiFA其他文献

Oudah, FadiFA的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Oudah, FadiFA', 18)}}的其他基金

OFI SF7 New Integrated Design Approach for Wharves in Nova Scotia to Meet 2050 Target GHG Emissions Set by the Environmental Goals and Climate Change Reduction Act
OFI SF7 新斯科舍省码头采用新的综合设计方法,以实现环境目标和气候变化减少法案规定的 2050 年温室气体排放目标
  • 批准号:
    576783-2022
  • 财政年份:
    2022
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Alliance Grants

相似海外基金

Development of a tool to predict blood tacrolimus concentrations using endogenous substrates as indicators of CYP3A activity
开发使用内源性底物作为 CYP3A 活性指标来预测血液他克莫司浓度的工具
  • 批准号:
    23K14386
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Application of deep learning and novel survival models to predict MCI-to-AD dementia progression
应用深度学习和新型生存模型预测 MCI 至 AD 痴呆的进展
  • 批准号:
    10725359
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
Genomic and Imaging Markers to Understand and Predict Progression of Joint Damage After Injury
基因组和成像标记物可了解和预测受伤后关节损伤的进展
  • 批准号:
    10605787
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
Integration of Immunologic Phenotyping with Computational Approaches to Predict Clinical Trajectory in Septic Patients
免疫表型分析与计算方法相结合来预测脓毒症患者的临床轨迹
  • 批准号:
    10708534
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
Identifying and addressing missingness and bias to enhance discovery from multimodal health data
识别和解决缺失和偏见,以增强多模式健康数据的发现
  • 批准号:
    10637391
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
Neuro-computational predictors of treatment responsiveness in trauma-exposed Veterans.
遭受创伤的退伍军人治疗反应的神经计算预测因子。
  • 批准号:
    10580396
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
Using Peripheral Microglial Exosomes to predict brain inflammation in the human Parkinson’s brain
使用外周小胶质细胞外泌体预测人类帕金森病大脑的炎症
  • 批准号:
    10665477
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
Leveraging a novel health records platform to predict the development of cardiovascular disease following kidney transplantation
利用新型健康记录平台预测肾移植后心血管疾病的发展
  • 批准号:
    10679322
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
Predicting Cardiovascular Outcomes Using Diabetes-Induced Transcriptomic Networks
使用糖尿病诱导的转录组网络预测心血管结果
  • 批准号:
    10679593
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
A machine learning based fetal monitoring system to predict and prevent fetal hypoxia.
基于机器学习的胎儿监测系统,用于预测和预防胎儿缺氧。
  • 批准号:
    10760437
  • 财政年份:
    2023
  • 资助金额:
    $ 2.19万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了